Latest Research in Multimodal Medical Vision

Top Research Topics in Multimodal Medical Vision

• Computer Vision and Pattern Recognition — 55 papers
• Artificial Intelligence — 20 papers
• Computation and Language — 11 papers
• Robotics — 7 papers
• Machine Learning — 6 papers
• Topic Modeling — 5 papers
• Biomedical Text Mining and Ontologies — 5 papers
• Multimodal Machine Learning Applications — 5 papers
• Optimization and Control — 5 papers
• Machine Learning in Healthcare — 4 papers

Highest-Cited Papers

1. RadVLM: a multitask conversational vision-language model for radiology (2 citations)
2. Addressing Span Imbalance and Semantic Complexity in Nested Medical Named Entity Recognition
3. Mechanistic Discovery in Complex Diseases through Multi-Modal AI and Knowledge Graphs
4. LIDR-TB: large language model-integrated platform for traceable drug repurposing in tuberculosis
5. Facial emotional responses to visual representations of deprived experiences in ICE environments: an exploratory analog space mission case study
6. Artificial intelligence and laboratory biomarkers in veterinary medicine: an update about machine learning applications
7. A multi-channel modal fusion hypergraph convolutional neural network for Tibetan medicinal material classification
8. Integrating knowledge from case reports: a medical ontology based multimodal information system with structured summary
9. On Convergence Behavior of Randomized Kaczmarz-type Methods for Solving Doubly Noisy Linear Systems
10. Pretrained Medical Representations for the Practical Screening of Drug Repositioning Candidates
11. Guideline-grounded retrieval-augmented generation for ophthalmic clinical decision support
12. Compliance for Free: Learning Identifiable Impedance via Bilateral Teleoperation
13. Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining
14. Semantically Calibrated Evidence Composition for CT Vision-Language Learning
15. Graph-Supervised Hierarchical Clinical Alignment for Radiology Report Generation with Large Language Models
16. SurgRAW: Multi-Agent Workflow with Chain of Thought Reasoning for Robotic Surgical Video Analysis
17. Advances in Sensing Techniques and Deep Learning for Food Quality Detection: Opportunities, Challenges, and Perspectives from Image Recognition to Multimodal Data Fusion
18. Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation
19. Hyperbolic Graph Representation Learning for Differential Diagnosis on Biomedical Knowledge Graphs
20. A visual large language foundational model for medical image recognition using clinician-contributed online resources

Sub-Regions

• Computer Vision and Pattern Recognition — 89 papers
• Optimization and Control — 78 papers
• Artificial Intelligence — 58 papers
• Computation and Language — 39 papers
• Biomedical Text Mining and Ontologies — 15 papers
• Machine Learning — 12 papers